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Design and Implementation of an IoT-Oriented Strain Smart Sensor with Exploratory Capabilities on Energy Harvesting and Magnetorheological Elastomer Transducers

机译:以电荷为导向的应变智能传感器的设计与实现,具有探索性能力和磁流变弹性体换能器

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This work designed and implemented a new low-cost, Internet of Things-oriented, wireless smart sensor prototype to measure mechanical strain. The research effort explores the use of smart materials as transducers, e.g., a magnetorheological elastomer as an electrical-resistance sensor, and a cantilever beam with piezoelectric sensors to harvest energy from vibrations. The study includes subsequent and validated results with a magnetorheological elastomer transducer that contained multiwall carbon nanotubes with iron particles, generated voltage tests from an energy-harvesting system that functions with an array of piezoelectric sensors embedded in a rubber-based cantilever beam, wireless communication to send data from the sensor’s central processing unit towards a website that displays and stores the handled data, and an integrated manufactured prototype. Experiments showed that electrical-resistivity variation versus measured strain, and the voltage-generation capability from vibrations have the potential to be employed in smart sensors that could be integrated into commercial solutions to measure strain in automotive and aircraft systems, and civil structures. The reported experiments included cloud-computing capabilities towards a potential Internet of Things application of the smart sensor in the context of monitoring automotive-chassis vibrations and airfoil damage for further analysis and diagnostics, and in general structural-health-monitoring applications.
机译:这项工作设计并实施了新的低成本,面向事物互联网,无线智能传感器原型,以测量机械应变。研究工作探讨了智能材料作为换能器,例如磁流变弹性体作为电阻传感器的磁体,以及具有压电传感器的悬臂梁,以从振动收获能量。该研究包括随后和验证的结果,磁流变弹性体换能器用铁颗粒含有多壁碳纳米管,从能量收集系统产生电压测试,该能量收集系统具有嵌入在基于橡胶基悬臂梁的压电传感器阵列,无线通信将来自传感器的中央处理单元的数据发送到显示和存储处理数据的网站,以及集成的制造原型。实验表明,电阻率变化与测得的应变,振动的电压发生能力具有在智能传感器中采用的电位,可以集成到商业解决方案中以测量汽车和飞机系统中的应变和民用结构。报告的实验包括在监控汽车底盘振动和翼型损伤的情况下,在监控汽车底盘振动和翼型损坏以进行进一步分析和诊断的情况下,以及一般结构健康监测应用程序的潜在物联网的云计算能力。

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